rocm-build
imaginAIry
rocm-build | imaginAIry | |
---|---|---|
7 | 56 | |
168 | 7,795 | |
- | - | |
0.0 | 9.2 | |
4 months ago | 17 days ago | |
C++ | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rocm-build
- AMD's Hidden $100 Stable Diffusion Beast!
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AMD GPU driver not installed correctly
Scripts to help with building rocm and hip. It will also help work out dependencies. You will need to modify the scripts for them to work and not all are required. https://github.com/xuhuisheng/rocm-build
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Stable Diffusion on AMD RDNA3
Short answer no. Long answer "in theory" yes. I tried this [1] but gave up as building rocm + deps takes up to 6h :/ Official statement [2]
[1] https://github.com/xuhuisheng/rocm-build
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Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI
I am in the same boat with a gfx03 card. What patch did you use? The ones here? https://github.com/xuhuisheng/rocm-build
I also tried to compile pytorch with its Vulkan backend, but ended throwing the towel as LDFLAGS are a mess to get right (I successfully compiled it, but that was only part of the build chain, and decided I had better things to spend time on). I wonder how that would perform; ncnn works pretty decently.
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How do I run Stable Diffusion and sharing FAQs
Unofficial black magic is available: https://github.com/xuhuisheng/rocm-build/tree/master/navi10 (pytorch 1.12.0 is outdated but can run SD)
- Deep Learning options on Radeon RX 6800
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Which version of ROCm and Tensorflow should I use?
also have an RX570, currently running latest Tensorflow and ROCm 4.1. had to recompile some parts of ROCm 4.1 libraries to get tensorflow to work. mostly followed this guide: https://github.com/xuhuisheng/rocm-build/tree/master/gfx803
imaginAIry
- Show HN: Launch StableStudio local inference in one commmand
- imaginairy 12.0. diffusion upscaling, image shuffling, controlnet 1.1 for any SD 1.5 model
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I Used Stable Diffusion and Dreambooth to Create an Art Portrait of My Dog
Stable Diffusion works fine on a CPU - on an AMD Ryzen 5700, approx 90s per image (and I believe comparable or faster on my old i7-6700). If you want to kick off a batch in the background while you work on something else, that's plenty fast. (I use: https://github.com/brycedrennan/imaginAIry).
- ControlNet integrated with script-friendly imaginAIry
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What files would I edit to change features / make new features in Automatic 1111?
Yeah, also, rather than messing around with the AUTO1111 UI, maybe learn some Python and how to use this library: https://github.com/brycedrennan/imaginAIry
- Any way to install and use SD via command line instead of GUI?
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Master hacker used “AI via command prompt” to ask what “after death looks like”
this is a real thing https://github.com/brycedrennan/imaginAIry
- FLiP Stack Weekly 28 Jan 2023
- FLiP Stack Weekly 28-Jan-2023
- new in imaginAIry - animations!
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion - Latent Text-to-Image Diffusion
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
tensorflow-upstream - TensorFlow ROCm port
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
stable-diffusion-grpcserver - An implementation of a server for the Stability AI Stable Diffusion API
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]